In the highly competitive e-commerce industry, it is essential for sellers to make use of Amazon review analysis tools to select products, improve consumer experience, and ultimately obtain better market sales and an enhanced brand presence. Through sentiment analysis, voice of customer research, Amazon review analyzers, feedback analysis, product research, audience research, competitor analysis and Amazon ratings & reviews data it is possible to gain deeper insights into customer behavior and preferences. This information can then be used to craft more effective marketing strategies that directly meet customer needs and drive customer satisfaction.
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Top 3![Sequoia Fitness TrimCal 4000 Body Fat Caliper (Black) [Health and Beauty] with Fat % Chart](https://m.media-amazon.com/images/I/81DD2iAUJ+L._AC_SX300_SY300_.jpg)
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Through the analysis of bestseller rankings (BSR) and the average star ratings of products in this category, you can gain an understanding of user demand and levels of satisfaction. This data helps us make smarter decisions when it comes to pricing strategies and product offerings.
Target your customers through customer profile
By studying customer profiles and related data, businesses can develop an optimized product profile that resonates with the target audience. Collecting voice of customer feedback, Amazon reviews, and other audience research provides valuable insights into customer behaviors and preferences, arming sellers with the knowledge to craft products or campaigns that speak to the right customers and propel sales.
Ship products your customers love through sentiment analysis
Sentiment analysis can be used to uncover consumer discontent with products, automatically divide NR and PR, and present data about product quality issues, packaging recommendations, marketing flaws, and inadequate service in a digitized format. Through the issues found in VOCs with CTQs, businesses are able to initiate a closed loop from problem to action that enables constant iterations and optimization of product quality. Additionally, customer emotion data can be analyzed to facilitate predictions of upcoming trends before competitors and customize products to meet customers’ needs.
Cons | |
|---|---|
| scale | 25.02% |
| inaccurate | 7.29% |
| do not work very well | 2.85% |
| do not give exact weight | 0.85% |
| do not work | 0.25% |
| small | 0.15% |
| app | 10.79% |
| product | 4.35% |
| tape | 3.70% |
| caliper | 2.05% |
Pros | |
|---|---|
| scale | 31.96% |
| accurate | 9.68% |
| easy to use | 6.25% |
| good | 3.76% |
| look so good | 2.70% |
| easy to see display | 2.03% |
| app | 20.12% |
| product | 4.08% |
| design | 3.03% |
| number | 2.95% |
Make the smartest sales decisions through Buyers Motivation
Companies must thoroughly understand the voice of their customers in order to make smart sales decisions. This can be achieved by leveraging buyer motivation data, conducting competitor analysis, and engaging in product research. Companies should also seek out customer feedback, analyze past purchasing data, and stay updated on market trends to devise effective pricing strategies. Additionally, businesses should focus on providing value to customers with competitive prices, relevant discounts, quality products and services, and excellent customer service. By considering buyer motivation and delivering value to customers, businesses will be able to make informed decisions that will lead to profitable long-term success.
| Topic | Mentions |
|---|---|
| others | 60 |
| accuracy | 9 |
| app | 4 |
| rating | 4 |
| accurate | 3 |
Understand customers need for prioritizing what to build next
Prioritizing what to build next can be informed by analyzing customer sentiment through Amazon reviews and product research. Competitor analysis can also be used to gain insights into current and upcoming trends. Consideration of customer expectations is critical in creating successful products that will maintain customer satisfaction and loyalty.
| Topic | Mentions | Review Snippets |
|---|---|---|
| accurate scale | 17 | good scale accurate scale more accurate scale accurate digital scale exact scale |
| last long | 15 | last long last forever last awhile last longer |
| scale | 15 | scale scale accurate scale work differ from scale good scale |
| accurately measure weight | 8 | accurately measure weight accurate weight determine weight measure more than basic weight measure weight accurately adjust |
| accurate consistent | 7 | consistent accuracy consistency accuracy repeatability accurate consistent consistant accuracy |
| scale weigh | 7 | scale accurate show true weigh scale for average weighing scale precise reading weight scale read in kg lb scale weigh 3 |
| app | 6 | app app nice app work |
| color white | 6 | white white color |
| good | 6 | good |
| improvement | 6 | improve improvement |
Shulex VOC provides core capabilities such as customer profiles, sentiment analysis, buyers motivation and customer expectations. Enables businesses to unlock the power of voice of customer, leveraging AI modeling for an in-depth look at customer experience, product research & selection as well as improving quality and reputation. This allows data to be converted into tangible actions that promote a balanced relationship between customers and brand.
